Kimi K2 Instruct 0905 vs Llama Guard 3 1B
Kimi K2 Instruct 0905 (2025) and Llama Guard 3 1B (2024) are general-purpose language models from Moonshot AI and AI at Meta. Kimi K2 Instruct 0905 ships a 256K-token context window, while Llama Guard 3 1B ships a not-yet-sourced context window. On pricing, Llama Guard 3 1B costs $0.1/1M input tokens versus $0.6/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama Guard 3 1B is ~500% cheaper at $0.1/1M; pay for Kimi K2 Instruct 0905 only for provider fit.
Specs
| Released | 2025-01-01 | 2024-09-25 |
| Context window | 256K | — |
| Parameters | — | 1B |
| Architecture | decoder only | decoder only |
| License | - | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Kimi K2 Instruct 0905 | Llama Guard 3 1B | |
|---|---|---|
| Input price | $0.6/1M tokens | $0.1/1M tokens |
| Output price | $2.5/1M tokens | $0.1/1M tokens |
| Providers |
Capabilities
| Kimi K2 Instruct 0905 | Llama Guard 3 1B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Kimi K2 Instruct 0905 lists $0.6/1M input and $2.5/1M output tokens, while Llama Guard 3 1B lists $0.1/1M input and $0.1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $1.07 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose Kimi K2 Instruct 0905 when provider fit and broader provider choice are central to the workload. Choose Llama Guard 3 1B when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which is cheaper, Kimi K2 Instruct 0905 or Llama Guard 3 1B?
Llama Guard 3 1B is cheaper on tracked token pricing. Kimi K2 Instruct 0905 costs $0.6/1M input and $2.5/1M output tokens. Llama Guard 3 1B costs $0.1/1M input and $0.1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Kimi K2 Instruct 0905 or Llama Guard 3 1B open source?
Kimi K2 Instruct 0905 is listed under not clearly licensed in the seed data. Llama Guard 3 1B is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Kimi K2 Instruct 0905 and Llama Guard 3 1B?
Kimi K2 Instruct 0905 is available on Fireworks AI and NVIDIA NIM. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Kimi K2 Instruct 0905 over Llama Guard 3 1B?
Llama Guard 3 1B is ~500% cheaper at $0.1/1M; pay for Kimi K2 Instruct 0905 only for provider fit. If your workload also depends on provider fit, start with Kimi K2 Instruct 0905; if it depends on provider fit, run the same evaluation with Llama Guard 3 1B.
Continue comparing
Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.